Amazon Applied Scientist Account Integrity 

United States, California, San Diego 

465072315

Key job responsibilities
- Use statistical and machine learning techniques to create scalable risk and scam detection systems- Design, development and evaluation of highly innovative models for risk management- Working closely with operations staff to optimize risk management operations
- Establishing scalable, efficient, automated processes for large scale data analyses, model development, model validation and model implementation- Research and implement novel machine learning and statistical approaches

- 4+ years of applied research experience
- 3+ years of building machine learning models for business application experience
- PhD, or Master's degree and 6+ years of applied research experience
- Experience programming in Java, C++, Python or related language
- Experience with neural deep learning methods and machine learning

- Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc.
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field
- Experience in applied research
- Experience with building Generative AI and Agentic AI systems